Agent skill · product strategy · alirezarezvani
commercial-policy
Use when writing or revising discount rules: discount matrix, approver thresholds, exception flows and the deal framework sales works under. Builds the matrix with discount_matrix_builder.py, routes exceptions with exception_router.py and checks the policy with policy_linter.py.
Why this skill is useful
Adds three executable scripts for discount matrix design, exception routing, and policy linting that fundamentally extend the AI's capabilities in commercial policy creation.
What it needs
Requires python installed locally. About 8k tokens when loaded. Last updated 2026-08-05. 23,939 stars on the source repository.
What this skill does
commercial-policy Purpose Design the rules of engagement that govern discounting off list price — the artifact that Deal Desk and AEs operate under. Three deterministic tools: 1. discountmatrixbuilder.py — builds a 4-dimensional matrix (ARR band × term length × payment terms × strategic value tier), each cell carrying an approved discount band backed by current win-rate + NRR data, plus an approver tier (AE / Manager / Director / VP / CFO). 2. exceptionrouter.py — when an asks-for-discount lands outside the matrix, routes it through the named approver chain, attaches required compensating commitments (multi-year prepay + named expansion path + reference commitment + MSA tightening), produces machine-readable audit-trail metadata, and flags precedent risk if 3+ similar exceptions have landed in the trailing quarter. 3. policylinter.py — lints the matrix for governance defects: approver inversion, band inversion, margin-floor violation, coverage gaps, cliff edges, undefined strategic tiers, inconsistent margin floors, thin data backing. The output is the policy itself (matrix + exception flow + lint report), not a per-deal application of it. When to use A new Head of Commercial or Head of Deal Desk is writing the company's first formal commercial policy The existing matrix is older than 6 months and discount drift is showing in margin reviews Reps are citing "Maria approved 28% on Acme last quarter" as precedent and you need to break the precedent loop Q-over-Q exception count is rising and you suspect the matrix bands are mispriced CFO has tightened the margin floor and the matrix needs to be rebuilt against the new constraint A board / exec is asking "why do we discount this much?" and you need a data-backed defensible policy Do NOT use this skill to: Approve a specific deal — that's commercial/skills/deal-desk Set the pricing model + list price — that's commercial/skills/pricing-strategist Author a proposal / SOW / MSA prose — that's business-growth/contract-and-pr …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills alirezarezvani/commercial-policy--5cf228